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CT characteristics and clinical implications of acute type A aortic intramural hematoma
Hsu-Ting Yen1, Chia-Chen Wu1, Yi-Wei Lee2
1Division of Thoracic and Cardiovascular Surgery, Department of Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Insights
Computed tomography (CT) findings of penetrating atherosclerotic ulcers (PAUs) or ulcer-like projections (ULPs) and pericardial effusion predict adverse aortic events in patients with acute type A aortic intramural hematoma (TAIMH). Early CT follow-up is crucial for medical management.
Area of Science:
- Cardiovascular Imaging
- Thoracic Surgery
- Radiology
Background:
- Computed tomography (CT) is vital for diagnosing acute aortic syndrome.
- Identifying high-risk CT imaging features in acute type A aortic intramural hematoma (TAIMH) is crucial for patient management.
- Previous studies have reported various high-risk CT findings, but their predictive value for TAIMH requires further elucidation.
Purpose of the Study:
- To identify specific CT imaging findings that predict adverse clinical outcomes in patients with TAIMH.
- To examine the association between CT features and mortality or aortic events in medically treated TAIMH patients.
- To inform clinical decision-making and optimize follow-up strategies for TAIMH.
Main Methods:
- Retrospective analysis of 63 patients with TAIMH receiving initial medical treatment.
- Evaluation of clinical characteristics and CT imaging features in relation to mortality and aortic events.
- Multivariate regression and Cox proportional hazards models to determine independent predictors of aortic events and survival.
Main Results:
- During a median follow-up of 4.2 years, 25 patients experienced aortic events, with 40% occurring within 7 days.
- Penetrating atherosclerotic ulcers (PAUs) or ulcer-like projections (ULPs) and pericardial effusion were identified as independent predictors of aortic events (P=0.04 and P=0.03, respectively).
- PAUs/ULPs and pericardial effusion were also independently associated with lower aortic event-free survival (P=0.04 for both).
Conclusions:
- CT findings of PAUs/ULPs and pericardial effusion are significant predictors of adverse aortic events in TAIMH.
- These high-risk CT features necessitate careful clinical consideration and potentially more intensive monitoring.
- Regular and frequent CT imaging follow-up is recommended for patients with TAIMH undergoing medical treatment to detect early signs of complications.
Objectives:
Computed tomography (CT) has been increasingly used in the diagnosis of acute aortic syndrome, and a number of high-risk CT imaging features have been reported. We aimed to identify CT imaging findings suggesting high-risk for acute aortic syndrome by examining clinical outcomes of patients with acute type A aortic intramural hematoma (TAIMH).
Methods:
This retrospective study analyzed the relationship of clinical patient characteristics and imaging features with mortality and aortic events in 63 patients receiving initial medical treatment for TAIMH. Multivariate regression analysis was used to determine the predictors of aortic events, and the Kaplan-Meier method was used to analyze survival and aortic events.
Results:
During a median follow-up of 4.2 years, 25 patients experienced aortic events and 40% of these occurred within 7 days of admission. In total, 12 patients experienced aortic death and 12 patients underwent open aortic surgery or endovascular stenting for aortic disease. In multivariate regression analysis, penetrating atherosclerotic ulcers (PAUs) or ulcer-like projections (ULPs) (P = 0.04) and pericardial effusion (P = 0.03) were independent predictors of aortic events. In the Cox regression model, PAUs/ULPs (P = 0.04) and pericardial effusion (P = 0.04) were independently associated with lower aortic event-free survival.
Conclusion:
Identification of high-risk CT features is important for clinical decision-making during TAIMH treatment. Early and frequent CT imaging follow-up is required in patients receiving medical treatment. PAUs/ULP and pericardial effusion were the strongest predictors of adverse aortic events.
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